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DBMS > Dolt vs. Kdb vs. Sequoiadb vs. Spark SQL vs. Transbase

System Properties Comparison Dolt vs. Kdb vs. Sequoiadb vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonKdb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaHigh performance Time Series DBMSNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Document store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
kx.comwww.sequoiadb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.dolthub.comcode.kx.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDoltHub IncKx Systems, a division of First Derivatives plcSequoiadb Ltd.Apache Software FoundationTransaction Software GmbH
Initial release20182000 infokdb was released 2000, kdb+ in 2003201320141987
Current release3.6, May 20183.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoqC++ScalaC and C++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnonono
Secondary indexesyesyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLyesSQL-like query language (q)SQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsCLI Client
HTTP REST
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
proprietary protocol using JSONJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functionsJavaScriptnoyes
Triggersyesyes infowith viewsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transactionnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startuprights management via user accountssimple password-based access controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
DoltKdbSequoiadbSpark SQLTransbase
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
DoltKdbSequoiadbSpark SQLTransbase
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